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Francesca Vitali
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2020 – today
- 2020
- [j4]Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi:
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks. BMC Bioinform. 21(1): 219 (2020) - [c7]Giorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Luca Gelati, Vincenzo Petito, Francesca Vitali, Angelo Ferrando, Davide Ancona, Manuela Chessa, Nicoletta Noceti, Francesca Odone:
Slow Rogaining: An Innovative Teamwork Model for Computer Science Education. UMAP (Adjunct Publication) 2020: 119-126
2010 – 2019
- 2019
- [j3]Francesca Vitali, Qike Li, A. Grant Schissler, Joanne Berghout, Colleen Kenost, Yves A. Lussier:
Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes. Briefings Bioinform. 20(3): 789-805 (2019) - [j2]Simone Marini, Francesca Vitali, Sara Rampazzi, Andrea Demartini, Tatsuya Akutsu:
Protease target prediction via matrix factorization. Bioinform. 35(6): 923-929 (2019) - [c6]Qike Li, Samir Rachid Zaim, Dillon Aberasturi, Joanne Berghout, Haiquan Li, Francesca Vitali, Colleen Kenost, Hao Helen Zhang, Yves A. Lussier:
Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes. AMIA 2019 - [c5]Francesca Vitali, Joanne Berghout, Jung-wei Fan, Jianrong Li, Qike Li, Haiquan Li, Yves A. Lussier:
Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms. PSB 2019: 308-319 - [c4]Joanne Berghout, Yves A. Lussier, Francesca Vitali, Martha L. Bulyk, Maricel G. Kann, Jason H. Moore:
Reading between the genes: interpreting non-coding DNA in high-throughput. PSB 2019: 444-448 - 2018
- [c3]Yves A. Lussier, Joanne Berghout, Francesca Vitali, Kenneth S. Ramos, Maricel G. Kann, Jason H. Moore:
Session Introduction. PSB 2018: 507-511 - 2017
- [c2]Elisabetta Sauta, Andrea Demartini, Francesca Vitali, Alberto Riva, Riccardo Bellazzi:
Data Fusion Approach for Learning Transcriptional Bayesian Networks. AIME 2017: 76-80 - [i1]Danila Vella, Simone Marini, Francesca Vitali, Riccardo Bellazzi:
MTopGO: a tool for module identification in PPI Networks. PeerJ Prepr. 5: e3229 (2017) - 2013
- [j1]Francesca Vitali, Francesca Mulas, Pietro Marini, Riccardo Bellazzi:
Network-based target ranking for polypharmacological therapies. J. Biomed. Informatics 46(5): 876-881 (2013) - [c1]Francesca Vitali, Francesca Mulas, Pietro Marini, Riccardo Bellazzi:
Knowledge-Based Identification of Multicomponent Therapies. AIME 2013: 94-98
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